Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources

A R. Singh, RS Kumar, M Bajaj, CB Khadse… - Scientific Reports, 2024 - nature.com
The growing integration of renewable energy sources into grid-connected microgrids has
created new challenges in power generation forecasting and energy management. This …

[HTML][HTML] A review of advancements in solar PV-powered refrigeration: Enhancing efficiency, sustainability, and operational optimization

G Saha, AKMAM Azad - Energy reports, 2024 - Elsevier
The combination of refrigeration systems and solar photovoltaic (PV) technology has
become a viable alternative to tackle the difficulties caused by electricity limitations …

Advanced efficient energy management strategy based on state machine control for multi-sources PV-PEMFC-batteries system

B Kanouni, AE Badoud, S Mekhilef, M Bajaj… - Scientific Reports, 2024 - nature.com
This article offers a PV-PEMFC-batteries energy management strategy (EMS) that aims to
meet the following goals: keep the DC link steady at the standard value, increase battery …

A review and comparative analysis of maximum power point tracking control algorithms for wind energy conversion systems

YK Teklehaimanot, FK Akingbade, BC Ubochi… - International Journal of …, 2024 - Springer
In the current era, renewable energy has emerged as a vital alternative to fossil fuels, driven
by the repercussions of global warming and the depleting supply of fossil fuels. Among …

Multi-objective energy management in a renewable and EV-integrated microgrid using an iterative map-based self-adaptive crystal structure algorithm

A Rajagopalan, K Nagarajan, M Bajaj… - Scientific Reports, 2024 - nature.com
The use of plug-in hybrid electric vehicles (PHEVs) provides a way to address energy and
environmental issues. Integrating a large number of PHEVs with advanced control and …

A Novel Electric Vehicle Battery Management System Using an Artificial Neural Network‐Based Adaptive Droop Control Theory

MZ Afzal, M Aurangzeb, S Iqbal… - … Journal of Energy …, 2023 - Wiley Online Library
The novelty of this research lies in the development of a new battery management system
(BMS) for electric vehicles, which utilizes an artificial neural network (ANN) and fuzzy logic …

Chaotic self-adaptive sine cosine multi-objective optimization algorithm to solve microgrid optimal energy scheduling problems

N Karthik, A Rajagopalan, M Bajaj, P Medhi… - Scientific Reports, 2024 - nature.com
Researchers are increasingly focusing on renewable energy due to its high reliability,
energy independence, efficiency, and environmental benefits. This paper introduces a novel …

[HTML][HTML] Chaotic harris hawks optimization algorithm for electric vehicles charge scheduling

VM Kumar, C Bharatiraja, A ELrashidi, KM AboRas - Energy reports, 2024 - Elsevier
Electric Vehicle (EV) technology and migration are hindered by battery sizing, short driving
ranges, and optimal operations. This article focuses on develo** a strategy for scheduling …

A bibliometric and visualized analysis of nanoparticles in musculoskeletal diseases (from 2013 to 2023)

S Cao, Y Wei, Z Yao, Y Yue, J Deng, H Xu… - Computers in Biology …, 2024 - Elsevier
As the pace of research on nanomedicine for musculoskeletal (MSK) diseases accelerates,
there remains a lack of comprehensive analysis regarding the development trajectory …

Frequency regulation of geothermal power plant-integrated realistic power system with 3DOFPID controller

CHNS Kalyan, GS Rao, M Bajaj, B Khan… - Cogent …, 2024 - Taylor & Francis
In this article, a higher-order degree of freedom (DOF) proportional–integral–derivative
(PID)(3DOFPID) controller optimized with the meta-heuristic method of the water cycle …